Senser is an AIOps observability platform that combines machine learning with eBPF-based telemetry to monitor infrastructure and surface root causes of outages and service degradations. It leverages eBPF running inside the Linux kernel to capture networking and application traffic with low overhead and then applies ML to contextualize that data. The product presents a navigable map of an organization’s infrastructure—VMs, Kubernetes clusters, microservices and edge locations—with drill-down capabilities focused on production environments. Senser aims to move beyond dashboards by providing explainable alerts that tell teams why they should care and how the system reached its conclusions, reducing alert fatigue. The company emerged from stealth, is Tel Aviv-based, has 17 employees, and is actively hiring marketing roles in the United States to scale go-to-market efforts. Founders Amir Krayden, Yuval Lev, and Or Sadeh previously worked together at DriveNets and built the product to address the complex debugging challenges they encountered there.

Total raised

$10M

Funding rounds

1

Latest round

Seed

Latest activity

Sep 2023